Information Theoretic Methods In Data Science

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Information Theoretic Methods In Data Science

Author : Miguel R. D. Rodrigues
ISBN : 9781108427135
Genre : Computers
File Size : 75.10 MB
Format : PDF, Kindle
Download : 667
Read : 313

The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.
Category: Computers
Information-Theoretic Methods in Data Science
Language: en
Pages: 565
Authors: Miguel R. D. Rodrigues, Yonina C. Eldar
Categories: Computers
Type: BOOK - Published: 2021-04-08 - Publisher: Cambridge University Press

The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.
Data Science Concepts and Techniques with Applications
Language: en
Pages: 196
Authors: Usman Qamar, Muhammad Summair Raza
Categories: Computers
Type: BOOK - Published: 2020-06-08 - Publisher: Springer Nature

This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book
Methodologies and Applications of Computational Statistics for Machine Intelligence
Language: en
Pages: 277
Authors: Samanta, Debabrata, Rao Althar, Raghavendra, Pramanik, Sabyasachi, Dutta, Soumi
Categories: Computers
Type: BOOK - Published: 2021-06-25 - Publisher: IGI Global

With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative
Information Theory and Statistical Learning
Language: en
Pages: 439
Authors: Frank Emmert-Streib, Matthias Dehmer
Categories: Computers
Type: BOOK - Published: 2009 - Publisher: Springer Science & Business Media

This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts.
Mathematical Problems in Data Science
Language: en
Pages: 213
Authors: Li M. Chen, Zhixun Su, Bo Jiang
Categories: Computers
Type: BOOK - Published: 2015-12-15 - Publisher: Springer

This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For unsolved problems such as incomplete